G. Lee, J. Park, W. Saad and M. Bennis, "Performance Analysis of Blockchain Systems With Wireless Mobile Miners," in IEEE Networking Letters, vol. 2, no. 3, pp. 111-115, Sept. 2020, doi: 10.1109/LNET.2020.2995823
Performance analysis of blockchain systems with wireless mobile miners
|Author:||Lee, Gilsoo1; Park, Jihong2; Saad, Walid1;|
1Wireless@VT, Virginia Tech, Blacksburg, USA
2School of Information Technology, Deakin University, Geelong, Australia
3Centre for Wireless Communications, University of Oulu, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202101181973
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-01-18
In this letter, a novel framework that uses wireless mobile miners (MMs) for computation purposes in a blockchain system is proposed. To operate blockchains over such a wireless mobile network with minimum forking events, it is imperative to maintain low-latency wireless communications between MMs and communication nodes (CNs) that store the blockchain ledgers. To analyze the sensitivity of the system to latency, the probability of occurrence of a forking event is theoretically derived. Also, in mobile blockchain using MMs, minimizing energy consumption required for networking and computation is essential to extend the operation time of MMs. Hence, the average energy consumption of an MM is derived as a function of the system parameters such as the number of MMs and power consumed by the computing, transmission, and mobility processes of the MMs. Simulation results verify the analytical derivations and show that using a larger number of MMs can reduce the energy consumption by up to 95% compared to a blockchain system with a single MM.
IEEE networking letters
|Pages:||111 - 115|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by NSF under Grant CNS-1814477, in part by the Nokia Foundation under a Personal Grant, in part by the Academy of Finland under Grant 294128, in part by the 6Genesis Flagship under Grant 318927, in part by the Academy of Finland through the MISSION Project under Grant 319759, and in part by the Artificial Intelligence for Mobile Wireless Systems Project at the University of Oulu.
|Academy of Finland Grant Number:||
294128 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
319759 (Academy of Finland Funding decision)
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